The 7 Best Celonis Competitors and Alternatives in 2026

Enterprise operations and IT leaders evaluating traditional process mining tools tend to run into common friction points like lengthy data preparation, complex implementations and limited visibility into unlogged desktop work. Backend event log analysis can reconstruct structured transactions in systems of record, but manual work in spreadsheets, email and browser applications remains outside that view.

Companies start looking beyond Celonis when traditional process mining limitations, such as setup effort or gaps in desktop visibility, make it harder to see how work actually executes across the enterprise. Alternatives range from zero-integration work observation tools to discovery suites connected to Robotic Process Automation (RPA), Business Process Management (BPM) governance platforms and simulation engines, with the biggest differences in what they capture, how much setup they require and what teams can do with the resulting process data.

This guide evaluates seven Celonis alternatives by their data capture capabilities, setup requirements, automation capabilities and core enterprise use cases to help you select the right fit.

TL;DR

• Fluency captures cross-application work without backend integrations, then uses observed processes to build self-adapting AI automations and measure their business impact against execution baselines

• UiPath bridges process mining and desktop task recording, feeding discovered opportunities into an established UiPath automation environment

• SAP Signavio uses prebuilt content to reduce setup for SAP-focused process mining, including value accelerators for common processes, data pipelines, metrics and dashboards

• ARIS links process mining to governed process models, giving enterprises a strong combination of execution analysis, BPM and compliance controls

• IBM Process Mining combines event log analysis with process simulation, letting teams model potential changes before implementing them

• Apromore combines no-code process mining with task mining and simulation, giving teams multiple ways to analyze current execution and test proposed changes

• Automation Anywhere turns desktop activity into inputs for RPA development, connecting process discovery directly to Automation 360

What does Celonis do?

Celonis reconstructs enterprise workflows from backend system logs generated by enterprise resource planning (ERP) and customer relationship management (CRM) platforms like SAP, Oracle and Salesforce. By ingesting timestamped transaction records, the platform builds visual process models that highlight bottlenecks, execution delays and compliance gaps.

Its object-centric architecture connects related business objects, such as orders, invoices and shipments, rather than evaluating a process around a single isolated case. Operations leaders get detailed conformance and root-cause analysis when the process is well represented in structured system data.

Why are companies looking for Celonis competitors?

Customer reviews on G2 and Gartner Peer Insights point to several reasons enterprises look beyond Celonis:

• Deployments can take months: Celonis requires source-system connections, event extraction and data modeling before analysis begins, and G2 reports a four-month average setup time

• Advanced features demand specialized skills: Reviewers frequently mention platform complexity and a steep learning curve

• Large datasets can slow performance: Reviewers also report slower performance with large data models and complex queries

• Unlogged activity creates visibility gaps: System event logs miss manual steps completed in spreadsheets, email and browser apps

• Connecting discovery to execution is difficult: Teams still need separate implementation or automation work to act on process findings and measure the result

Together, these limitations push teams to look for Celonis alternatives that require less setup and provide visibility into work that backend system logs can miss.

Best Celonis competitors and alternatives at a glance

The table below compares the seven Celonis alternatives by capture approach, implementation speed, infrastructure requirements and strongest fit.

The best Celonis competitors in 2026

The seven platforms below solve different parts of the process intelligence problem, from analyzing backend system data to capturing desktop work, modeling process changes and feeding discoveries into automation.

1. Fluency

Fluency makes the most sense for enterprises that want to turn observed desktop work into deployed, self-adapting AI automations. The enterprise work intelligence platform captures work across the applications employees use without API integrations or IT data pipelines, giving teams initial insights within hours.

Key features:

• Work Explorer maps recurring tasks across systems and handoffs to show where time is spent

• Opportunities ranks automation candidates by projected hours saved and financial ROI

• Automations deploys AI agents into existing workflows and keeps them current after deployment

Fluency observes work, not workers. Deployments run with SOC 2 Type I and II controls and automatic redaction of personal data, and analysis stays at the workflow level, not against an individual.

Celonis can use process intelligence to trigger actions, orchestrate automations and coordinate AI agents across connected systems. Fluency starts from observed cross-application execution, then uses that same execution data to build automations, keep them current as human and agent workflows change and measure business impact against the original process baseline.

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2. UiPath

UiPath is a natural fit for enterprises already using its automation platform. Its process intelligence tools combine Process Mining and Task Mining to identify automation opportunities across backend systems and desktop tasks.

Key features:

• Event-log process mining across business applications

• Desktop recording for selected tasks

• Automation opportunities that feed into the UiPath platform

Celonis can trigger and orchestrate automations from process insights, while UiPath connects Process Mining and Task Mining directly to the RPA tools already built into its automation platform.

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3. SAP Signavio

SAP-heavy enterprises will get the clearest advantage from SAP Signavio, a process transformation platform with process mining and modeling capabilities. Its tight connection to the wider SAP suite can reduce setup for processes that already run through SAP systems.

Key features:

• Process mining from connected enterprise data

• Prebuilt content for common SAP workflows

• Process modeling through the wider SAP Signavio suite

Celonis is designed to analyze processes across a broad mix of enterprise systems, while Signavio is more tightly integrated with SAP process content and the wider SAP transformation suite.

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4. ARIS

As a business process management and process intelligence platform, ARIS is strongest when governance and compliance matter as much as process performance. It combines event-log analysis with formal BPM modeling in the same environment.

Key features:

• Automated process discovery from event logs

• Conformance checking against governed process models

• Process simulation

Celonis also supports conformance checking and governed process design, while ARIS centers these capabilities in a broader BPM repository built around formal process models, governance and compliance.

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5. IBM Process Mining

IBM Process Mining stands out for enterprises that want to evaluate process changes before putting them into production. The platform combines process discovery with predictive analysis and simulation to support scenario planning before implementation.

Key features:

• Process discovery and conformance analysis

• Predictive and scenario-based analytics

• Process simulation

Celonis supports process simulation within its broader process intelligence platform. IBM puts what-if scenario analysis more prominently into the process-improvement workflow, letting teams model changes to resources, process steps or automation and compare the simulated result with the current process baseline.

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6. Apromore

Apromore is a process intelligence platform for teams that want process mining, task mining and simulation in one place. Its no-code environment lets business users analyze processes and test proposed changes without relying on custom code.

Key features:

• No-code process analysis with task mining

• Business Process Model and Notation (BPMN) modeling and conformance checking

• What-if and digital-twin simulation

Celonis supports task mining and process simulation, while Apromore packages process analysis, desktop task capture and what-if modeling into a no-code environment aimed at business users.

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7. Automation Anywhere

Automation Anywhere is an enterprise automation platform for companies already building RPA in Automation 360. The platform’s Process Discovery feature records desktop activity and identifies tasks that may be candidates for automation.

Key features:

• Desktop capture across applications

• Process path and variation analysis

• Process Definition Documents that feed into automation generation in Automation 360

Celonis analyzes enterprise process data to identify improvement and automation opportunities. Automation Anywhere centers its Process Discovery workflow on recorded desktop interactions, generating Process Definition Documents that feed into bot development in Automation 360.

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How to choose the right Celonis alternative

To narrow down these seven Celonis alternatives, match a platform's underlying data architecture with your team's operational reality. Before committing to a proof of concept, use these four questions to evaluate your environment and zero in on the right fit:

1. Where does the work actually happen?

Processes that stay strictly inside ERP or CRM systems like SAP, Oracle or Salesforce are well-suited to backend log mining. If your workflows rely heavily on spreadsheets, email, browser tools and manual workarounds, look closely at how each platform captures desktop-level activity and whether that coverage is continuous or project-based.

2. How much setup effort can your team absorb?

Event log process mining requires source-system connectors, event extraction pipelines and data modeling before delivering insights. If you need visibility before building backend data pipelines, compare how much setup each platform requires and how quickly it can begin capturing useful execution data.

3. Do you already have an established ERP or RPA stack?

Existing technology investments often dictate the shortlist. UiPath and Automation Anywhere naturally extend into their own RPA environments, while SAP Signavio is especially well aligned with organizations heavily invested in SAP.

4. What needs to happen after discovery?

If your objective is governance and regulatory compliance, ARIS is a stronger fit, while IBM stands out when simulation and scenario planning matter most. If the goal is deploying and maintaining AI automations, prioritize tools that convert observed execution into automations, keep them current as processes change and measure ROI against the original baseline.

Create maximum AI impact with Fluency

Fluency connects process discovery directly to automation, then keeps measuring and updating those automations as work changes. Its lightweight desktop agent captures execution across applications without backend integrations or IT data pipelines, giving teams a current view of how work happens.

Work Explorer maps observed activity into structured process models without requiring API integrations or custom pipelines. Opportunities automatically suggests and ranks automation candidates by projected hours saved and financial ROI.

Automations builds AI agents directly from observed workflows, capturing the real-world variants and exceptions employees encounter as they complete the work. Continuous observation across human-executed and agent-executed work means that, as underlying processes change, automations adapt to the new execution data instead of breaking the way brittle RPA scripts do.

Fluency compares execution after deployment with the original process baseline to measure the business impact and financial ROI of deployed AI agents. This also gives operations leaders a current view of human-executed and agent-executed work within the same business processes.

How Fluency compares to the alternatives

Choose what your enterprise can actually see

Choosing a Celonis alternative means choosing what your operation can see, and what it can do about what it finds. A platform that only reads backend logs, or stops at a process map, leaves the decision of where AI belongs back with you.

Together, these capabilities give enterprises a view of how work executes without backend integrations, automatically identify and build automations from observed processes, keep those automations current as execution changes and quantify their business impact.

Request a Fluency demo to see how your team can start identifying high-value AI automation opportunities within hours and turn them into self-adapting automations with measurable ROI.

Celonis alternatives FAQs

Quick answers on how these platforms capture work and where Fluency fits.

How does Celonis compare to UiPath?

Celonis focuses on deep enterprise process intelligence from backend system logs, while UiPath integrates process and task mining specifically to drive its native automation suite. It uses object-centric process mining to analyze complex, end-to-end workflows across enterprise platforms like SAP and Oracle. In contrast, UiPath pairs log-based process mining with desktop task recording to identify, document and build RPA bots directly within the UiPath platform.

Can you do process mining without backend integrations?

Yes. Process intelligence can be performed without backend integrations by capturing desktop execution rather than extracting event logs from database APIs.

Fluency observes cross-application workflows directly through a lightweight desktop agent, delivering continuous visibility without API connections or IT data pipelines.

Other platforms, such as Automation Anywhere, also bypass backend system integrations by using desktop sensors, though their capture is organized around defined observation projects rather than continuous enterprise execution.

How long does process mining implementation take?

Process mining implementation can take anywhere from hours to several months, depending on how the platform captures data and how much setup it requires.

Traditional event-log platforms often need source-system connections, event extraction and data modeling before analysis begins. Fluency uses a lightweight desktop agent with no backend integrations or IT data pipelines, so teams can get initial insights within hours.

What’s the difference between process mining and task mining?

Process mining analyzes how end-to-end processes move through enterprise systems, while task mining captures the desktop actions employees take to complete individual tasks.

Process mining typically uses event logs from systems such as ERP and CRM platforms. Task mining records user interactions across applications, making it useful for understanding manual steps, workarounds and other activity that may not appear in backend system data.